Dataset Versions

v3

2023-12-11 7:16pm

Generated on Dec 11, 2023

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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Dataset Split

Train Set 87%
2241Images
Valid Set 9%
229Images
Test Set 4%
108Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 3px
Noise: Up to 5% of pixels
Bounding Box: Rotation: Between -20° and +20°

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